Snowflake

AUGUST 21, 2023

With demonstrable success across a range of industries, organizations are increasingly pursuing cutting-edge data mesh architectures to enhance self-service data use. Data-as-a-product: By considering data resources through a product lens, teams can adopt practices centered around quality and ease of use.

Pipeline-centric 52

Pipeline-centric Architecture Government Data Architect 52

AltexSoft

FEBRUARY 11, 2023

What’s more, investing in data products, as well as in AI and machine learning was clearly indicated as a priority. This suggests that today, there are many companies that face the need to make their data easily accessible, cleaned up, and regularly updated. This privacy law must be kept in mind when building data architecture.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Monte Carlo

JANUARY 24, 2024

More data, more access to data, and more regulations mean data governance has become a higher-stakes game. As you prepare to roll out a successful data governance strategy at your organization, keep an eye on the following four trends that will shape the future of data governance.

Data Governance 52

Data Governance Government Data Lake Data Architecture 52

Cloudera

OCTOBER 7, 2021

Those decentralization efforts appeared under different monikers through time, e.g., data marts versus data warehousing implementations (a popular architectural debate in the era of structured data) then enterprise-wide data lakes versus smaller, typically BU-Specific, “data ponds”.

Architecture 124

Architecture Metadata Government Kafka 124

Knowledge Hut

APRIL 20, 2023

The mix of people, procedures, technologies, and systems ensures that the data within a company is reliable, safe, and simple for employees to access. It is a tool used by businesses to protect their data, manage who has access to it, who oversees it, and how to make it available to staff members for everyday usage.

Data Governance 59

Data Governance Government Data Cleanse Data Security 59

Cloudera

NOVEMBER 1, 2022

Translation: Government agencies — especially those under the Department of Defense (DoD) — have use cases that require data storage and analytic workloads to be maintained on premises to retain absolute control of data security, privacy, and cost predictability. . It’s here where the private cloud delivers.

Cloud 87

Cloud Government Cloud Computing Data Architecture 87

Striim

FEBRUARY 19, 2024

Business Value: Enhanced Agility and Innovation: By empowering domain teams with the autonomy to manage their data, organizations can foster a more agile and innovative environment Improved Data Quality and Accessibility: Thinking of data as a product helps to make sure that it is of good quality and easy to use.

Data Integration 52

Data Integration Government Data Data Governance 52

Knowledge Hut

OCTOBER 30, 2023

Data Transformation and ETL: Handle more complex data transformation and ETL (Extract, Transform, Load) processes, including handling data from multiple sources and dealing with complex data structures. Ensure compliance with data protection regulations. Define data architecture standards and best practices.

BI 52

BI Business Intelligence Data Cleanse Business Analyst 52

Monte Carlo

MARCH 13, 2024

When done right, a good data governance program will help organizations answer questions around how data is collected and processed, who should have permission to access it, where it’s stored, and when it’s retired. But… What data governance isn’t … Data governance isn’t a data quality tool, because it’s not a tool at all.

Data Governance 52

Data Governance Government Metadata Data 52

Precisely

JANUARY 27, 2023

According to Corinium , only 37% of organizations have a well-developed enterprise data architecture that enables high-quality, data-driven, and personalized CX. Innovative CX Chief Customer Service Experience Officer Bob Azman puts it this way: “Everybody is collecting lots of data.

High Quality Data 104

High Quality Data Data Governance Government Banking 104

Snowflake

JANUARY 22, 2024

As part of that transition, Fidelity has consolidated its analytics data into its Enterprise Analytics Platform, which is engineered using the Snowflake Data Cloud, making it easier for teams and departments across the company to access the data they need.

Engineering 63

Engineering Data Lake Unstructured Data Metadata 63

Ascend.io

FEBRUARY 28, 2024

Engineers ensure the availability of clean, structured data, a necessity for AI systems to learn from patterns, make accurate predictions, and automate decision-making processes. Through the design and maintenance of efficient data pipelines , data engineers facilitate the seamless flow and accessibility of data for AI processing.

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

Knowledge Hut

NOVEMBER 17, 2023

Data Security and Compliance Familiarize yourself with data security best practices, encryption, access controls, and compliance standards, especially if you are working with sensitive or regulated data. Certifications Consider pursuing certifications that validate your Azure data engineering skills.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Knowledge Hut

MARCH 22, 2024

Responsibilities: Design and implement secure cloud architectures and solutions. Manage and maintain cloud security controls, including identity and access management (IAM), encryption, and network security. Conduct security assessments and vulnerability scans to identify and address potential security risks.

AWS 52

AWS Amazon Web Services Cloud Computing Google Cloud 52

Knowledge Hut

MARCH 28, 2024

They work together with stakeholders to get business requirements and develop scalable and efficient data architectures. Role Level Advanced Responsibilities Design and architect data solutions on Azure, considering factors like scalability, reliability, security, and performance.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

AltexSoft

MARCH 2, 2023

Data quality involves storing data in its correct and consistent form. Here’s a deep dive into data quality management and tools. Data availability is responsible for making data accessible to appropriate personnel within the system. Learn more about data integrity in our dedicated article.

Data Governance 52

Data Governance Government Healthcare Programming 52

Knowledge Hut

DECEMBER 28, 2023

Hadoop can store data and run applications on cost-effective hardware clusters. Its data architecture is flexible, relevant, and schema-free. To learn more about this topic, explore our Big Data and Hadoop course. The data architecture must guarantee data security and enforce access control measures.

Hadoop 52

Hadoop Project Datasets Big Data 52

Cloudera

NOVEMBER 17, 2022

We needed a solution to manage our data at scale, to provide greater experiences to our customers. With Cloudera Data Platform, we aim to unlock value faster and offer consistent data security and governance to meet this goal. Aqeel Ahmed Jatoi, Lead – Architecture, Governance and Control, Habib Bank Limited.

Banking 84

Banking Management Data Lake Professional Services 84

Cloudera

JANUARY 26, 2022

Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. The hybrid cloud’s premise—two data architectures fused together—gives companies options to leverage those solutions and to address decision-making criteria, on a case-by-case basis. .

Cloud 85

Cloud Cloud Computing Hadoop Data Warehouse 85

Cloudera

NOVEMBER 18, 2020

The technological linchpin of its digital transformation has been its Enterprise Data Architecture & Governance platform. It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery. Enterprise Data Cloud. Data Security & Governance.

Medical 121

Medical Banking Telecommunication Government 121

AltexSoft

MAY 12, 2023

Application Programming Interfaces ( APIs ) enable the interaction between different software applications and allow for seamless data extraction from various sources, such as social media platforms, news websites, and other online services. Efficient access and retrieval of information. Data durability and availability.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Cloudera

JUNE 14, 2021

How to optimize an enterprise data architecture with private cloud and multiple public cloud options? In addition, data lineage is persisted across those clouds, assisting in auditability, transparency and explainability which are increasingly important to prove compliance as well as for AI workloads.

Telecommunication 95

Telecommunication Cloud Finance Government 95

Cloudera

FEBRUARY 14, 2022

CDE like the other data services (Data Warehouse and Machine Learning for example) deploys within the same kubernetes cluster and is managed through the same security and governance model. Data Engineering should not be limited by one cloud vendor or data locality.

Data Engineering 112

Data Engineering Data Engineer Engineering Data Pipeline 112

Knowledge Hut

OCTOBER 3, 2023

You can purchase practice tests from Microsoft or access free practice tests online. Growing Market: There is a significant and rising need for Azure Data Engineers as a result of the market expansion for big data and cloud computing, which is anticipated to last for the foreseeable future.

Data Engineering 52

Data Engineering Data Engineer Engineering Cloud Computing 52

Cloudera

SEPTEMBER 15, 2020

The main reason for this change is that this title better represents the move that our customers are making; away from acknowledging the ability to have data ‘anywhere’. Providing a single and consistent security and governance — In the world we find ourselves living in, it’s simply not acceptable to not know who has access to your data.

Cloud 65

Cloud Data Government Healthcare 65

Knowledge Hut

NOVEMBER 17, 2023

Data Architecture and Design: These experts excel in creating effective data structures that meet scalability requirements, ensure optimal data storage, processing, and retrieval, and correspond with business demands. Implement security measures in Azure services such as Azure SQL Database and Azure Data Lake Storage.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Cloudera

NOVEMBER 30, 2020

And then there are the added implications such heavy fines have for data security. As well as compliance within everyday operations, data breaches take on a whole new level of risk. . Corporations are obligated to ensure personal data is exposed in the right way to the right people.

Process 66

Process Designing Data Architecture Government 66

Knowledge Hut

SEPTEMBER 22, 2023

By making it simpler for data scientists, data analysts, and decision-makers to access the data they need to conduct their jobs, data engineers and their expertise play a critical part in an organization's success. How Long Does Microsoft Azure Data Engineer Certification Take?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

MARCH 26, 2024

Data Solutions Architect Role Overview: Design and implement data management, storage, and analytics solutions to meet business requirements and enable data-driven decision-making. Role Level: Mid to senior-level position requiring expertise in data architecture, database technologies, and analytics platforms.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

Cloudera

MAY 22, 2019

The program recognizes organizations that are using Cloudera’s platform and services to unlock the power of data, with massive business and social impact. Cloudera’s data superheroes design modern data architectures that work across hybrid and multi-cloud and solve complex data management and analytic use cases spanning from the Edge to AI.

Pharmaceutical 56

Pharmaceutical Recruitment Machine Learning Metadata 56

Knowledge Hut

SEPTEMBER 29, 2023

By combining data from various structured and unstructured data systems into structures, Microsoft Azure Data Engineers will be able to create analytics solutions. Why Should You Get an Azure Data Engineer Certification?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Cloudera

FEBRUARY 22, 2021

The Cloudera Data Platform (CDP) represents a paradigm shift in modern data architecture by addressing all existing and future analytical needs. CDP helps clients reduce (or avoid entirely) costs for ancillary technology tools that are used in conjunction with competing analytical solutions.

Data Warehouse 79

Data Warehouse Data Governance Government Cloud 79

U-Next

AUGUST 17, 2022

Companies and enterprises, large and small, are built on data. Data Engineer roles and responsibilities include aiding in the collection of issues and the delivery of remedies addressing customer demand and product accessibility. Identifying and fixing data security flaws to shield the company from intrusions.

Data Engineering 52

Data Engineering Data Engineer Pipeline-centric Database-centric 52

phData: Data Engineering

AUGUST 11, 2023

Additionally, access to the family medical history can significantly improve the chances of a quicker diagnosis. Thus, using data engineering is a must in 2023 for hospitals. Patients can choose to provide healthcare businesses with access to their information. There is potential to revolutionize the industry by 2030.

Healthcare 52

Healthcare Data Engineering Data Engineer Hospitality 52

Scott Logic

OCTOBER 30, 2023

which supported one of the core goals at the time – making content more accessible to users. The final model was able to tag 96% of the content in about six months, making huge amounts of content more accessible to citizens. When I worked at Government Digital Service (GDS) there was a great example on GOV.UK

Government 52

Government Hospitality Database-centric Machine Learning 52

Databand.ai

JANUARY 24, 2023

The Ultimate Guide for Data Teams Eric Jones 2023-01-24 12:21:38 If you find yourself hearing a lot about DataOps and then subsequently asking, “ What is DataOps? The concept of DataOps has become prevalent in recent years as a way to ensure teams effectively manage data and maintain efficient access to high quality, timely data.

Retail 52

Retail Banking Government Manufacturing 52

Silectis

JANUARY 3, 2021

Big Data Processing In order to extract value or insights out of big data, one must first process it using big data processing software or frameworks, such as Hadoop. Big Query Google’s cloud data warehouse. Data Catalog An organized inventory of data assets relying on metadata to help with data management.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40